Abstract: A method may include receiving, via one or more processors, a set of image data representative of equipment configured to distribute a gas. The method may then involve determining a type of equipment depicted in the first set of image data, retrieving a leak detection model corresponding to the type of equipment depicted in the first set of image data, and determining that a gas leak is present on the equipment based on the set of image data and the leak detection model. After determining that the gas leak is present, the method may include sending a notification to a computing device in response to detecting the gas leak.

Abstract: Imaging devices, systems, and methods for determining whether an object is within range to be decoded based on a sharpness of the object in a captured image are described herein. An example device includes: an imaging assembly; and a computer-readable media storing machine readable instructions that, when executed, cause the imaging device to: (i) capture, using the imaging assembly, the image data of the indicia; (ii) calculate, using at least an element of the indicia, a sharpness score for the indicia; (iii) determine, based on the sharpness score, whether the indicia is within a predetermined decode operation range; (iv) when the distance of the indicia is within the predetermined decode operation range, perform a decode operation on the indicia; and (v) when the distance of the indicia is not within the predetermined decode operation range, refrain from performing the decode operation on the indicia.

Abstract: A robot control system and a method for automatic camera calibration is presented. The robot control system includes a control circuit configured to determine all corner locations of an imaginary cube that fits within a camera field of view, and determine a plurality of locations that are distributed on or throughout the imaginary cube. The control circuit is further configured to control a robot arm to move a calibration pattern to the plurality of locations, and to receive a plurality of calibration images corresponding to the plurality of locations, and to determine respective estimates of intrinsic camera parameters based on the plurality of calibration images, and to determine an estimate of a transformation function that describes a relationship between a camera coordinate system and a world coordinate system. The control circuit is further configured to control placement of the robot arm based on the estimate of the transformation function.

Abstract: Method for calibrating an optical recording device, the method comprises constructing a plurality of scenes so that, for each location of the first set of calibration locations, a calibration indicium of the set of indicia is located in a respective scene of the plurality of scenes at said each location; acquiring a plurality of images, so that each scene of the plurality of scenes is displayed in a respective image of the plurality of images; locating a plurality of calibration loci so that, for each location of the first set of calibration locations, a respective locus of the plurality of calibration loci is comprised in a respective image of the plurality of images; and calibrating the optical recording device by using the loci of the plurality of calibration loci as locations in the image plane of the projection onto the image plane of the first calibration view.

Abstract: Various examples of systems and methods are provided for imaging calibration for slide processing. In one example, among others, a system for processing microscope slides includes a light source; an imaging device comprising a lens; and a slide positioner that can position the ground-glass portion of a slide between the light source and lens. Processing circuitry of the system can acquire an image of at least a section of the ground-glass portion at an initial position; analyze contrast of adjacent pixels with respect to a defined contrast characteristic; iteratively advance the lens and acquire additional images based upon analysis of contrast of adjacent pixels with respect to the defined contrast characteristic; and identify an optimal focal location of the lens based upon the defined contrast characteristic. Subsequent image acquisition via the lens can be based at least in part upon the optimal focal location.

Abstract: Apparatuses, systems, and techniques to identify orientations of objects within images. In at least one embodiment, one or more neural networks are trained to identify an orientations of one or more objects based, at least in part, on one or more characteristics of the object other than the object's orientation.

Abstract: An embodiment provides an inspection apparatus for a display device, including: a light supplier that supplies light to a surface of the display device; an inspection pattern portion positioned between the display device and the light supplier; a measurement portion that measures reflected light reflected from the surface of the display device; and a processor that processes data of the reflected light measured by the measurement portion, wherein the processor includes a calibration data portion including calibration data and a calibrator calibrating the data using the calibration data of the calibration data portion.

Abstract: The present technology pertains to validating a virtual camera in a simulation environment by utilizing an improved camera model to provide quantitative measurements of the model's performance. A method of validating a virtual camera in a simulation environment comprises presenting at least one reference chart in the simulated environment and capturing images of the reference chart in the simulated environment using a virtual camera. The method further includes interrupting an image pipeline of the virtual camera after at least one simulated process in the image pipeline to extract a RAW image. The method analyzes the RAW image to derive measurements of metrics to characterize the virtual camera. The measured metrics are compared to metrics of a calibrated real-world camera to verify that the metrics are within a threshold delta that is indicative that the virtual camera sufficiently approximates the real-world camera.

Abstract: This document describes asymmetric camera sensor positioning for enhanced package detection. In aspects, an electronic doorbell has an image sensor that is rotated to a portrait orientation and vertically shifted relative to a lens of a camera, resulting in asymmetric positioning of the image sensor relative to the lens. The lens projects an image circle onto the image sensor and the image sensor has a sensor detection area having upper corners within the image circle and lower corners outside of the image circle to enable capture of an object located in a lower portion of the image circle and proximate to an edge of the image circle. Then, lens distortion correction is performed on a captured image to provide a final image usable to detect the package, which may be located within the image circle but outside of a conventional sensor detection area.

Abstract: An aspect of the present disclosure provides an information processing system configured to process a captured image captured by an image-capturing apparatus including an infrared cut filter. In this information processing system, based on the captured image, a defect relating to the infrared cut filter is detected. Information on the defect is output.

Abstract: A system for identifying an Object Impression (OI), indicative of the viewability of an object over a time period during which a plurality of frames are displayed to a user, exceeding a threshold, the system comprising a processing resource configured to perform the following: for each frame of the plurality of frames, calculate a Frame OI Value (FOIV), based on an object's viewability score calculated for the corresponding frame, wherein the object's viewability score is calculated based on a first value indicative of a relative portion of the object from the viewport and a second value indicative of a relative portion of the object visible in the viewport, and a time duration during which the corresponding frame is displayed; and, aggregate the FOIVs calculated for the plurality of frames, giving rise to an Aggregated OI Value (AOIV), such that upon the AOIV exceeding a second threshold, the OI is identified.

Abstract: A camera mirror system for a vehicle includes, among other things, first and second exterior cameras that are configured to provide capture images outside of the vehicle that correspond to legally prescribed views. The system further includes first and second displays within a vehicle cabin that are configured to depict the captured images respectively from the first and second exterior cameras. The system further includes first and second interior cameras that are configured to capture driver images within the vehicle cabin. The first and second interior cameras respectively have first and second interior fields of view that overlap one another in a vehicle driver region within the vehicle cabin, the first display is in the second interior field of view, and the second display is in the first interior field of view. The system further includes a controller that is in communication with the first and second displays and the first and second interior cameras.

Abstract: An image processing apparatus includes a corresponding point calculator and a determination unit. The corresponding point calculator identifies corresponding points relating to an object based on left and right images in each stereo image. The corresponding points include a right image point in the right image and a left image point in the left image. The determination unit predicts a first position of the left image point in a second stereo image, and a second position of the right image point in a second stereo image, based on a position of the left image point in a first stereo image and a position of the right image point in the first stereo image, and determines whether the object is a mobile body based on a difference between the first position predicted and the first position identified, and a difference between the second position predicted and the second position identified.

Abstract: Systems, methods, and computer-readable media are disclosed for robotic system camera calibration and localization using robot-mounted registered patterns. In one embodiment, an example robotic system may include a robotic manipulator, and a picking assembly coupled to the robotic manipulator, where the picking assembly is configured to grasp and release items, and where the picking assembly includes a housing having a first flat surface. Example robotic systems may include a first calibration pattern disposed on the first flat surface of the housing, a first camera configured to image the first calibration pattern, and a controller configured to calibrate the robotic system.

Abstract: Methods and apparatus are disclosed for selecting a lens control mode for a camera in external magnetic fields or other types of non-magnetic interference. In embodiments, when the camera is activated, a test of a position sensor for the camera lens is performed by moving the camera lens through a range of positions and collecting values from the sensor. In embodiments, the sensor readings are analyzed to determine conditions such as (a) whether the sensor is saturated by an external magnetic field or non-magnetic interference, (b) whether the sensor's readings are within an error margin, and (c) whether a computed position offset for the sensor is valid. Based on the analysis, the camera is placed into a first control mode where movement of the lens is controlled using the position sensor, or a second control mode where lens movement is controlled without the position sensor.

Abstract: A display apparatus includes a display unit, an acquiring unit configured to acquire a captured image generated by capturing a displayed image, which is displayed by the display unit, by an image pickup apparatus, and a control unit configured to cause the display unit to display the captured image together with or instead of the displayed image. The control unit causes the display unit to stop displaying the captured image when the image pickup apparatus captures the displayed image.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: initiating, by a controller onboard the vehicle, a first laser pulse from a first laser device; initiating, by a controller onboard the vehicle, a second laser pulse from a second laser device, wherein the initiating the second laser pulse is based on a phase shift angle; receiving, by the controller onboard the vehicle, first return data and second return data as a result of the first laser pulse and the second laser pulse; interleaving, by the controller onboard the vehicle, the first return pulse and the second return pulse to form a point cloud; and controlling, by the controller onboard the vehicle, the vehicle based on the point cloud.

Abstract: A control module comprises: a first interface to a camera provided in a vehicle; a second interface to a serializer for communication with an electronic control unit of the vehicle; and a processing unit configured to process input data received via the first interface or via the second interface to obtain output data, and to output the output data via the first interface or via the second interface.

Abstract: Methods, systems, and techniques for automatic camera calibration. One or more calibration images are captured using a camera. The calibration images depict one or more bounding boxes, and each of the bounding boxes bounds a person. For each of the bounding boxes, the person is modeled using a rectangle or a parallelepiped, and a projection of the rectangle or parallelepiped is determined. A mapping that maps foot vertices of the projection to head vertices of the projection is determined, and using the foot vertices and the mapping, estimates of the head vertices and distances between the head vertices and the estimates of the head vertices are determined. The camera is calibrated by iteratively updating, using an objective function, the camera parameters so as to reduce those distances.

Abstract: A method for testing and/or calibrating a camera is provided. An optical test standard is produced. A plurality of subareas, with different grey tones, are applied to a substrate. At least one reference image of the substrate is captured using a reference camera, using a predetermined setting comprising at least one parameter. Reference greyscale values for the subareas are determined from the reference image and assigned to the substrate. At least one image of the optical test standard is captured by the camera using a predetermined setting of the camera, the setting comprising at least one parameter. Actual greyscale values for the subareas are determined from this image. An assertion about a sufficient or insufficient calibration of the camera is made based on a comparison of the actual greyscale values with the reference greyscale values or with a predetermined range of permissible actual greyscale values.

Abstract: An image parameter calculating method comprising: (a) transforming a spatial domain target image to a frequency domain target image; (b) multiplying the frequency domain target image with a frequency domain reference image to acquire a frequency domain multiplying result; and (c) calculating at least one peak location of the spatial domain target image according to the frequency domain multiplying result.

Abstract: In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

Abstract: A method and computer device for storage and retrieval of a data object on a storage medium. The method includes steps of disassembling the data object into a predetermined number of redundant sub blocks, storing the redundant sub blocks on the storage medium, retrieving at least a predetermined multiple of a minimal spreading requirement of the redundant sub blocks from the storage medium, and assembling the data object from any combination of a particular number of the redundant sub blocks, the particular number corresponding to a predetermined multiple of a minimal spreading requirement. The computer device includes modules for performing the steps.

Abstract: In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

Abstract: In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the Inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

Abstract: A method of recognizing an object includes controlling an event-based vision sensor to perform sampling in a first mode and to output first event signals based on the sampling in the first mode, determining whether object recognition is to be performed based on the first event signals, controlling the event-based vision sensor to perform sampling in a second mode and to output second event signals based on the sampling in the second mode in response to the determining indicating that the object recognition is to be performed, and performing the object recognition based on the second event signals.

Abstract: An imager array may be provided as part of an imaging system. The imager array may include a plurality of sensor arrays (e.g., also referred to as lenslets or optical elements). Each sensor array may include a plurality of sensors (e.g., pixels) associated with a lens. The sensor arrays may be oriented, for example, substantially in a plane facing the same direction and configured to detect images from the same scene (e.g., target area). Such images may be processed in accordance with various techniques to provide images of electromagnetic radiation. The sensor arrays may include filters or lens coatings to selectively detect desired ranges of electromagnetic radiation. Such arrangements of sensor arrays in an imager array may be used to advantageous effect in a variety of different applications.

Abstract: A method for calibrating a camera and a display monitor is provided. The method includes identifying a parameter for optimization, assigning to a test color a target color relevant to the parameter, repeatedly performing, two or more times, a set of steps, determining a direction and timing of color divergence for the target color from obtained images, and adjusting the parameter based on the direction and rate of color divergence for the target color. The set of steps includes instructing the display monitor to display the test color on a portion of the display monitor, obtaining an image captured by the camera while the display is executing the instruction, and reassigning, to the test color, a color obtained from a portion of the image in which the portion of the display monitor was captured. The obtained image includes the portion of the display monitor.

Abstract: Disclosed are systems, apparatus, devices, method, computer program products, and other implementations, including a method that includes capturing an image of a scene by an image capturing unit of a device that includes at least one sensor, determining relative device orientation of the device based, at least in part, on determined location of at least one vanishing point in the captured image of the scene, and performing one or more calibration operations for the at least one sensor based, at least in part, on the determined relative device orientation.

Abstract: An automatic calibration method for a projector-camera system including a semi-transparent screen is disclosed herein. An image sequence is caused to be captured from the semi-transparent screen and through the semi-transparent screen while a calibration pattern having features is displayed and not displayed in an alternating succession on the semi-transparent screen. A temporal correlation image is created from the image sequence and a discrete binary signal. Peaks are identified in a spatial cross correlation image generated from the temporal correlation image, where a pattern of the identified peaks corresponds to a pattern of the features in the calibration pattern. The peaks are transformed to coordinates of corrected feature points. A comparison of the corrected feature points and a ground truth set of coordinates for the features is used to determine whether the projector-camera system is calibrated.

Abstract: A method for determining a response to misalignment of a camera monitoring a desired area includes acquiring temporal related frames from the camera including a reference frame. A pixel location is determined of a reference object from the frames. Using the pixel location of the reference object, a displacement of the camera between a current frame and the reference frame is determined. For the displacement exceeding a first threshold, a new displacement of the camera is measured by introducing at least one additional object to a camera field of view and comparing the new displacement to a second threshold. For the new displacement not exceeding the second threshold, the camera is recalibrated using a determined pixel location and a physical location of the at least one additional object. For the new displacement exceeding the second threshold, notification is provided of a misalignment to an associated user device.

Abstract: An electronic device may include a camera module. Control circuitry within the electronic device may use an image sensor within the camera module to acquire digital images. The camera module may have lens structures that are supported by lens support structures such as a lens barrel and lens carrier. An actuator such as a voice coil motor may control the position of the lens support structures relative to internal support structures such as upper and lower spacer members. Springs may be used to couple the lens support structures to the internal support structures. Outer wall structures in the camera module such as a ferromagnetic shield structures may surround and enclose at least some of the internal support structures. The outer wall structures may have openings. The internal support structures may have pins or other alignment structures that protrude through the openings.

Abstract: Embodiments are disclosed that relate to calibrating an eye tracking system for a computing device. For example, one disclosed embodiment provides, in a computing device comprising a gaze estimation system, a method of calibrating the gaze estimation system. The method includes receiving a request to log a user onto the computing device, outputting a passcode entry display image to a display device, receiving image data from one or more eye tracking cameras, and from the image data, determining a gaze scanpath representing a path of a user's gaze on the passcode entry display image. The method further includes comparing the gaze scanpath to a stored scanpath for the user, and calibrating the gaze estimation system based upon a result of comparing the gaze scanpath to the stored scanpath for the user.

Abstract: In one embodiment, a Television (TV) receiver to perform a method of synchronizing a demodulator at a Viterbi decode input in the TV receiver using one or more bit de-interleaved even and odd Orthogonal Frequency Division Multiplexing (OFDM) symbols is provided. The method includes (i) performing a Viterbi decoding on the bit de-interleaved even and odd OFDM symbols when a frame boundary does not exist for the bit de-interleaved even and odd OFDM symbols, (ii) performing a convolutional encoding on an decoded data output of the Viterbi decoding, (iii) determining whether an output of the convolutional encoding of the bit de-interleaved OFDM symbols matches an input at a Viterbi decode, and (iv) determining whether the output of the convolutional encoding of the bit de-interleaved even and odd OFDM symbols matches with a SYNC pattern or a SYNC? pattern to obtain a RS packet align boundary.

Abstract: A method and system for determining a camera-to-display latency of an electronic device (100) having a camera (134) and touch-sensitive display (108) are disclosed. In one example embodiment, the method (500) includes receiving (511) first light (136) at the camera, and essentially simultaneously receiving second light (138) at a first photosensitive structural portion (102, 602). The method (500) further includes detecting (512) a first simulated touch input at the display (108) in response to a first actuation of the first photosensitive structural portion (102, 602), receiving third light (140) at a second photosensitive structural portion (104, 604), the third light being generated based at least indirectly upon the received first light (136), detecting (514) a second simulated touch input at the display (108) as a result of the receiving of the third light (140), and determining the camera-to-display latency based at least indirectly upon the touch inputs (516).

Abstract: An imaging section images a subject to generate an image. A display displays an image. A measuring section measures the size of the subject on the basis of the image. A recording section associates calibration data of a measuring endoscope apparatus including a value obtained when the measuring section measures the size of the calibrator on the basis of an image obtained when the imaging section has imaged the calibrator, and calibration data of the calibrator including a value obtained when the calibrator is measured by a higher-rank measuring instrument of a traceability system, and a value obtained when the measuring section measures the size of a measurement object different from the calibrator on the basis of an image of the measurement object, with the image of the measurement object image and records the associated data on a recording medium.

Abstract: A method for detecting camera degradation and faults comprises identifying a plurality of cameras comprising a camera network, collecting at least one system metric indicative of the camera's performance, analyzing the system metrics according to at least one of a plurality diagnostics layers comprising an individual diagnostic layer, a network diagnostic layer, and a pair diagnostic layer, and identifying a fault condition indicative of a faulty camera in the camera network according to the diagnostic layers.

Abstract: An image calibration system and an image calibration method thereof. The image calibration system includes an image capture module capturing a calibration image, first and second calibration tools comprising first and second calibration graphs respectively and a processing module calculating first and second calibration templates in the calibration image based on the first and second calibration graphs, and comparing the calibration image and the first and second calibration templates so as to obtain at least one locating point.

Abstract: An automatic calibration method for a projector-camera system including a semi-transparent screen is disclosed herein. An image sequence is caused to be captured from the semi-transparent screen and through the semi-transparent screen while a calibration pattern having features is displayed and not displayed in an alternating succession on the semi-transparent screen. A temporal correlation image is created from the image sequence and a discrete binary signal. Peaks are identified in a spatial cross correlation image generated from the temporal correlation image, where a pattern of the identified peaks corresponds to a pattern of the features in the calibration pattern. The peaks are transformed to coordinates of corrected feature points. A comparison of the corrected feature points and a ground truth set of coordinates for the features is used to determine whether the projector-camera system is calibrated.

Abstract: A camera with multiple lenses and multiple sensors wherein each lens/sensor pair generates a sub-image of a final photograph or video. Different embodiments include: manufacturing all lenses as a single component; manufacturing all sensors as one piece of silicon; different lenses incorporate filters for different wavelengths, including IR and UV; non-circular lenses; different lenses are different focal lengths; different lenses focus at different distances; selection of sharpest sub-image; blurring of selected sub-images; different lens/sensor pairs have different exposures; selection of optimum exposure sub-images; identification of distinct objects based on distance; stereo imaging in more than one axis; and dynamic optical center-line calibration.

Abstract: A method for checking a camera includes the steps of capturing an image of an object using a photo-sensitive element, converting the color level value of each of a plurality of pixels of the image into image gray level values, and when one of the image gray level values is higher than a predetermined gray level threshold value, displaying an alarm message on the screen of the camera. A camera is also disclosed herein.

Abstract: An accurate camera pose is determined by pairing a first camera with a second camera in proximity to one another, and by developing a known spatial relationship between them. An image from the first camera and an image from the second camera are analyzed to determine corresponding features in both images, and a relative homography is calculated from these corresponding features. A relative parameter, such as a focal length or an extrinsic parameter is used to calculate a first camera's parameter based on a second camera's parameter and the relative homography.

Abstract: A camera module under test is signaled to capture an image of a target. A group of pixels of the image that represent portions of several objects in the target are low pass filtered and then analyzed to compute a pixel distance between different subgroups of pixels that represent portions of the different objects. The computed pixel distance is then converted into a true distance using a predetermined math relationship that relates a pixel distance variable with a true distance variable.

Abstract: A method, system, and computer-usable tangible storage device for traffic camera diagnostics via strategic use of moving test targets are disclosed. The disclosed embodiments can comprise four modules: Moving test target management module, Moving test target detection and identification module, Image/video feature extraction module, and Sensor characterization and diagnostics module. A first test vehicle can travel periodically through traffic camera(s) of interest. The traffic camera(s) would then identify these test vehicles via matching of license plate numbers and then identify test targets in video frames through pattern matching or barcode reading. The identified test targets are then analyzed to extract image and video features that can be used for sensor characterization, sensor health assessment, and sensor diagnostics. The disclosed embodiments provide for a non-traffic-stop (i.e., non-traffic-interruption) traffic camera diagnostics.

Abstract: A method for testing a 3D camera is provided. The method includes: making a first camera of the 3D camera align with a first picture of a reference picture, wherein, the reference picture includes a second picture, a central point of the first picture and the second picture respectively has a first label and a second label; obtaining an image captured by a second camera of the 3D camera; identifying the first label, the second label, and a central point of the image; calculating an actual angle difference and an actual distance difference according to coordinates of the first label, the second label, and the central point; determining whether the 3D camera is installed appropriately by comparing the actual distance difference with the reference distance difference and the actual angle difference with the reference angle difference respectively.

Abstract: A sensor event assessor trainer and integrator is disclosed. In one embodiment, a sensor event assessor assesses any event detected by at least two sensors and provides assessment information about the event. A different event detection system provides an input regarding an event. A collaborator combines the assessment information with the different event detection system input to generate a user recognizable output for presenting the integrated event information.

Abstract: A testing method includes: providing a camera under test and a planar light source having a first mark, wherein the camera includes a voice coil motor (VCM) and a lens module is fixed on the VCM by glue, the VCM moves the lens module, the VCM includes an elastic tab for limiting and restoring the movement of the lens module; taking an image of a light source using the camera during the movement of the VCM; displaying the image having the first mark; determining if the first mark tilts using a detector; displaying a first message indicating that the tab is not stuck by glue when the detector determines the first mark does not tilt; and displaying a second message indicating that the tab is stuck by glue when the detector determines the first mark tilts.

Abstract: A method is provided for determining a position where a reference point should be located on a display (24) of an alignment device (20). The reference point corresponds to a target located within a region to be monitored by a camera (10) being aligned with the alignment device (20). The method includes the steps of: determining a minimum Field of View (FoV) such that the camera (10) will view a substantial entirety of the region; determining a first bearing for the camera (10), the first bearing substantially bisecting the FoV; determining a second bearing to the target; determining a different between the first and second bearings; determining a scaling factor (A); and, determining a position where a reference point corresponding to the target should be located on the display (24) of the alignment device (20) based on the scaling factor (A) and the difference between the first and second bearings.

Abstract: According to one embodiment, an apparatus for calibrating a camera while a vehicle is moving includes a rearward monitoring camera mounted in a vehicle to acquire image information, a memory that stores a camera calibration program for computationally determining and calibrating mounting parameters of the camera while the vehicle is moving, using the image information acquired by the camera, a gear position detector to detect gear positions of the vehicle and generates position signals according to the gear positions and a control unit that receives the image information, and when the gear position detector detects a position signal for other than a reverse gear position, that reads out and executes the camera calibration program stored in the memory.

Abstract: A noise detecting device includes an image acquiring unit and a parallel processing unit. The image acquiring unit acquires an image from a camera that captures the image of a test pattern including a plurality of lines tilted at a specific angle relative to a specific direction. The parallel processing unit sequentially extracts image signals for two lines extending in parallel in the specific direction of the image, the two parallel lines being away from each other by a specific number of lines, and performs in a parallel manner, for each image signals for the two parallel lines, processing for detecting noise generated in the image on the basis of a difference in pixel values calculated from the image signals for the two parallel lines.